Inspiration
Understanding the Burn Rate for a person working in an organisation in light of the present pandemic situation in which working from home is both a blessing and a scourge. How does the Burn Rate of employees change as a result of the varied situations provided? And how does it affect the company?
What it does
In this pandemic situation, we need to understand what will be the Burn Rate for the employee working in a company so that company or the individual can take measures to improve their mental health. Keeping that in mind, we have an ML model which calculates the Burn Rate of an employee based on past data we have obtained from a Kaggle dataset.
How we built it
We made a random forest regressor to calculate the burn rate of employees. It takes user inputs like gender, hours of work, level of seniority, work from home setup etc. and predicts the employees burn rate with a 90% accuracy.
Challenges we ran into
We found the preprocessing of data a bit challenging but we overcame it. Next, we thought to make an app but due to time constraints, we were unable to accomplish the task. We mean to take this project further and implement it later.
Accomplishments that we're proud of
We are proud of firstly completing the project on time. We are aware of how the Covid-19 pandemic situation affects employees; we are glad to have identified this problem. And that our machine learning model predicts with 90% accuracy.
What we learned
We learnt to use design UI for our model. Along with that, we learnt how to implement various things in our machine learning model with the dataset. Also, we learnt how to work with limited time constraints and give our best amidst pressure.
What's next for Mindex
We wish to incorporate Mindex into a mobile application and make it available for users. This would benefit a lot of employees and companies by fixating on the real issue, rather than hitting the hay & improving the personal mental health of individuals.
Built With
- machine-learning
- python
- regression
- ui
- ux




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